mne.preprocessing.annotate_movement#

mne.preprocessing.annotate_movement(raw, pos, rotation_velocity_limit=None, translation_velocity_limit=None, mean_distance_limit=None, use_dev_head_trans='average')[source]#

Detect segments with movement.

Detects segments periods further from rotation_velocity_limit, translation_velocity_limit and mean_distance_limit. It returns an annotation with the bad segments.

Parameters:

rawinstance of Raw

Data to compute head position.

posarray, shape (N, 10)

The position and quaternion parameters from cHPI fitting. Obtained with mne.chpi functions.

rotation_velocity_limitfloat

Head rotation velocity limit in radians per second.

translation_velocity_limitfloat

Head translation velocity limit in radians per second.

mean_distance_limitfloat

Head position limit from mean recording in meters.

use_dev_head_trans‘average’ (default) | ‘info’

Identify the device to head transform used to define the fixed HPI locations for computing moving distances. If average the average device to head transform is computed using compute_average_dev_head_t. If info, raw.info['dev_head_t'] is used.

Returns:

annotmne.Annotations

Periods with head motion.

hpi_disparray

Head position over time with respect to the mean head pos.

See also

compute_average_dev_head_t

Examples using mne.preprocessing.annotate_movement#

Extracting and visualizing subject head movement

Extracting and visualizing subject head movement

Annotate movement artifacts and reestimate dev_head_t

Annotate movement artifacts and reestimate dev_head_t